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GATE Data Science and AI 2024

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Explore this free tutorial to understand various concepts of GATE Data Science and AI 2024 . Learn probability, algebra, calculus, etc.

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The Graduate Aptitude Test in Engineering (GATE) is a highly competitive examination conducted at the national level in India. It is primarily designed to assess the knowledge and understanding of candidates in various engineering and science subjects. GATE is jointly conducted by the Indian Institute of Science (IISc) and the Indian Institutes of Technology (IITs) on a rotational basis.

To excel in GATE Data Science and AI 2024, candidates can choose a relevant paper based on their educational background and interests. They should thoroughly study the syllabus, practice previous year's questions, and consider pursuing higher studies or research in these fields at institutions that accept GATE scores.

##Gate 2024 Exam Details:

  1. Exam Name - Graduate Aptitude Test in Engineering (GATE) Year 2024
  2. Conducting Body - IISc Bangalore
  3. Exam Level - National Level
  4. Eligibility Criteria - Educational Qualifications, Age Limit (if any), Nationality (if applicable)
  5. Application Period - August 31st, 2023
  6. Application Process - Online Registration
  7. **Admit Card Release **- January 3rd, 2024
  8. GATE Exam Date - February 3,4,10, & 11, 2024 (tentative)
  9. Exam Duration - 3 hours (180 mins)
  10. Exam Mode - Computer-Based Test (CBT)
  11. **Papers Offered **- List of GATE Papers (e.g., ME, EE, CE, etc.)
  12. Exam Centers - Various cities across India
  13. Result Declaration - inbetween March 23rd to May 31st, 2024
  14. Score Validity - 3 years
  15. Application Fee - All candidates: Rs. 1800 & Late fee Rs. 2300 and Female(SC,ST,PwD): Rs. 900 & Late Fee Rs. 1400
  16. Official Website - gate2024.iisc.ac.in

Course Curriculum

Module 1Probability and Statistics

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Introduction to Probability for GATE Exam

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Permutations for GATE Exam

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Combinations for GATE Exam

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Permutations and Combinations for GATE Exam

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Probability Distributions for GATE Exam

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Conditional Probability and Bayes' Theorem for GATE Exam

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Descriptive Statistics for GATE Exam

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Correlation and Covariance for GATE Exam

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GATE Mock Test

Module 2Linear Algebra, Calculus and Optimization

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Introduction to Vectors and Matrices for GATE Exam

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System of Linear Equations for GATE Exam

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Eigenvalues and Eigenvectors for GATE Exam

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Determinants, Rank and Nullity for GATE Exam

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Basics of Calculus for GATE Exam

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Maxima and Minima for GATE Exam

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GATE Mock Test 2 - Linear Algebra, Calculus and Optimization

Module 3Programming, Data Structures, and Algorithms

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Programming in Python for GATE Exam

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Data Structures and Algorithms for GATE Exam

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Introduction to Graph Theory for GATE Exam

Module 4Database Management and Warehousing

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Database Fundamentals for GATE Exam

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GATE Mock Test 3 and 4 - Programming, Data Structures, and Algorithms

Module 5Machine Learning

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Supervised Learning for GATE Exam

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Unsupervised Learning for GATE Exam

Module 6Artificial Intelligence

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AI Fundamentals for GATE Exam

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Reasoning under Uncertainty for GATE Exam

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GATE Mock Test 5 & 6

Summary

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